Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916104" target="_blank" >RIV/49777513:23520/12:43916104 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-642-32790-2_51" target="_blank" >http://dx.doi.org/10.1007/978-3-642-32790-2_51</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-32790-2_51" target="_blank" >10.1007/978-3-642-32790-2_51</a>

Result language

angličtina

Original language name

Unsupervised synchronization of hidden subtitles with audio track using keyword spotting algorithm

Original language description

This paper deals with a processing of hidden subtitles and with an assignment of subtitles without time alignment to the corresponding parts of audio records. The first part of this paper describes processing of hidden subtitles using a software framework designed for handling large volumes of language modelling data. It evaluates characteristics of a corpus built from publicly available subtitles and compares them with the corpora created from other sources of data such as news articles. The corpus consistency and similarity to other data sources is evaluated using a standard Spearman rank correlation coefficients. The second part presents a novel algorithm for unsupervised alignment of hidden subtitles to the corresponding audio. The algorithm uses no prior time alignment information. The method is based on a keyword spotting algorithm. This algorithm is used for approximate alignment, because large amount of redundant information is included in obtained results. The longest common s

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Lecture Notes in Artificial Intelligence

ISSN

0302-9743

e-ISSN

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Volume of the periodical

7499

Issue of the periodical within the volume

Neuveden

Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

422-430

UT code for WoS article

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EID of the result in the Scopus database

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